# -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one
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# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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"""
This DAG will use Papermill to run the notebook "hello_world", based on the execution date
it will create an output notebook "out-<date>". All fields, including the keys in the parameters, are
templated.
"""

from datetime import timedelta

import airflow
from airflow.models import DAG
from airflow.operators.papermill_operator import PapermillOperator

default_args = {
    'owner': 'Airflow',
    'start_date': airflow.utils.dates.days_ago(2)
}

with DAG(
    dag_id='example_papermill_operator',
    default_args=default_args,
    schedule_interval='0 0 * * *',
    dagrun_timeout=timedelta(minutes=60)
) as dag:
    # [START howto_operator_papermill]
    run_this = PapermillOperator(
        task_id="run_example_notebook",
        input_nb="/tmp/hello_world.ipynb",
        output_nb="/tmp/out-{{ execution_date }}.ipynb",
        parameters={"msgs": "Ran from Airflow at {{ execution_date }}!"}
    )
    # [END howto_operator_papermill]
